Machine Learning in Meteorology

Catalog description

Hands-on experiences with Machine Learning (ML) from a series of practical case-studies in meteorology. Regression, classification, clustering and retrieval, and deep learning to solve research questions by identifying potential applications of ML, selecting appropriate ML models, representing data as features to serve as input to ML models, and assessing model quality